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移动医疗干预对改善中低收入国家产前保健就诊和熟练分娩护理的效果:系统评价和荟萃分析。

Effects of mHealth Interventions on Improving Antenatal Care Visits and Skilled Delivery Care in Low- and Middle-Income Countries: Systematic Review and Meta-analysis.

机构信息

Department of Global Health Nursing, Graduate School of Nursing Science, St. Luke's International University, Tokyo, Japan.

Center for Surveillance, Immunization, and Epidemiologic Research, National Institute of Infectious Diseases, Tokyo, Japan.

出版信息

J Med Internet Res. 2022 Apr 22;24(4):e34061. doi: 10.2196/34061.

Abstract

BACKGROUND

The poor coverage of essential maternal services, such as antenatal care (ANC) and skilled delivery care utilization, accounts for higher maternal and infant mortality in low- and middle-income countries (LMICs). Although mobile health (mHealth) interventions could potentially improve the service utilization in resource-limited settings, their effectiveness remains unclear.

OBJECTIVE

This review aimed to summarize the effect of mHealth interventions on improving the uptake of ANC visits, skilled birth attendance at the time of delivery, and facility delivery among pregnant women in LMICs.

METHODS

We conducted a comprehensive search on 9 electronic databases and other resources from inception to October 2020. We included individual randomized controlled trials and cluster randomized controlled trials that assessed the effectiveness of mHealth interventions for improving perinatal health care utilization among healthy pregnant women in LMICs. We performed a random-effects meta-analysis and estimated the pooled effect size by using risk ratios (RRs) with 95% CIs. In addition, 2 reviewers independently assessed the risk of bias of the included studies by using the Cochrane risk of bias tool and the certainty of the evidence by using the Grading of Recommendation, Assessment, Development and Evaluation approach.

RESULTS

A total of 9 studies (10 articles) that randomized 10,348 pregnant women (n=6254, 60.44% in the intervention group; n=4094, 39.56% in the control group) were included in this synthesis. The pooled estimates showed a positive effect of mHealth interventions on improving 4 or more ANC visit utilizations among pregnant women in LMICs, irrespective of the direction of interventions (1-way communications: RR 2.14, 95% CI 1.76-2.60, I=36%, 2 studies, moderate certainty; 2-way communications: RR 1.17, 95% CI 1.08-1.27, I=59%, 3 studies, low certainty). Only 2-way mHealth interventions were effective in improving the use of skilled birth attendance during delivery (RR 1.23, 95% CI 1.14-1.33, I=0%, 2 studies, moderate certainty), but the effects were unclear for 1-way mHealth interventions (RR 1.04, 95% CI 0.97-1.10, I=73%, 3 studies, very low certainty) when compared with standard care. For facility delivery, the interventions were effective in settings where fewer pregnant women used facility delivery (RR 1.68, 95% CI 1.30-2.19, I=36%, 2 studies, moderate certainty); however, the effects were unclear in settings where most pregnant women already used facility delivery (RR 1.01, 95% CI 0.97-1.04, I=0%, 1 study, low certainty).

CONCLUSIONS

mHealth interventions may contribute to improving ANC and skilled delivery care utilization among pregnant women in LMICs. However, more studies are required to improve their reproducibility and efficiency or strengthen the evidence of different forms of mHealth interventions because of the considerable heterogeneity observed in the meta-analyses.

TRIAL REGISTRATION

PROSPERO CRD42020210813; https://tinyurl.com/2n7ny9a7.

摘要

背景

基本产妇服务(如产前护理 (ANC) 和熟练分娩护理利用)的覆盖率低,导致中低收入国家(LMICs)的母婴死亡率较高。虽然移动医疗 (mHealth) 干预措施有可能改善资源有限环境下的服务利用,但它们的效果仍不清楚。

目的

本综述旨在总结 mHealth 干预措施对改善 LMICs 孕妇 ANC 就诊次数、分娩时熟练接生和医疗机构分娩的效果。

方法

我们对 9 个电子数据库和其他资源进行了全面搜索,从成立到 2020 年 10 月。我们纳入了评估 mHealth 干预措施对改善 LMICs 健康孕妇围产期保健利用效果的个体随机对照试验和群组随机对照试验。我们使用风险比 (RR) 及其 95%置信区间 (CI) 进行随机效应荟萃分析,并估计汇总效果大小。此外,2 位审阅者使用 Cochrane 偏倚风险工具独立评估纳入研究的偏倚风险,并使用推荐评估、制定和评估 (GRADE) 方法评估证据的确定性。

结果

共有 9 项研究(10 篇文章)纳入了 10348 名孕妇(n=6254,干预组 60.44%;n=4094,对照组 39.56%)进行了综合分析。汇总估计显示,mHealth 干预措施对改善 LMICs 孕妇的 4 次或以上 ANC 就诊次数有积极影响,无论干预方向如何(单向沟通:RR 2.14,95% CI 1.76-2.60,I=36%,2 项研究,中等确定性;双向沟通:RR 1.17,95% CI 1.08-1.27,I=59%,3 项研究,低确定性)。只有双向 mHealth 干预措施对提高分娩时熟练接生的利用有效(RR 1.23,95% CI 1.14-1.33,I=0%,2 项研究,中等确定性),但与标准护理相比,单向 mHealth 干预措施的效果尚不清楚(RR 1.04,95% CI 0.97-1.10,I=73%,3 项研究,极低确定性)。对于医疗机构分娩,干预措施在较少孕妇使用医疗机构分娩的环境中有效(RR 1.68,95% CI 1.30-2.19,I=36%,2 项研究,中等确定性);然而,在大多数孕妇已经使用医疗机构分娩的环境中,效果尚不清楚(RR 1.01,95% CI 0.97-1.04,I=0%,1 项研究,低确定性)。

结论

mHealth 干预措施可能有助于改善 LMICs 孕妇的 ANC 和熟练分娩护理利用。然而,由于荟萃分析中观察到的高度异质性,需要更多的研究来提高其可重复性和效率,或加强不同形式的 mHealth 干预措施的证据。

试验注册

PROSPERO CRD42020210813;https://tinyurl.com/2n7ny9a7。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/370e/9077501/2ff5c39cdd3d/jmir_v24i4e34061_fig1.jpg

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